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Working from home
147 followers · 35 following

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Achievement: Starstruckx3Achievement: Arctic Code Vault ContributorAchievement: Pull Shark
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Achievements

Achievement: Starstruckx3Achievement: Arctic Code Vault ContributorAchievement: Pull Shark
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WayneDW/README.md

Wei Deng / Homepage / Twitter

Links for me and for you

Research

  • Contour Sampler is the first algorithm that achieves the real free explorations and exploitations in MNIST dataset [Demo]; most other samplers cannot escape the high-energy barriers and only optimize well locally. GitHub Repo stars

  • Non-reversible Parallel Tempering: cosine learning rates work well empirically because it mimics non-reversible parallel tempering GitHub Repo stars

Application

  • NLP in Finance leverages sentiment analysis to predict stock price movement based on News headlines GitHub Repo stars

  • DeepLight wins a SOTA for CTR prediction in Ad Serving PWC GitHub Repo stars

Pinned

  1. Variational_Schrodinger_Diffusion_Model Variational_Schrodinger_Diffusion_Model Public

    Simulation-free transport-optimized diffusion models (ICML'24)

    Jupyter Notebook 1

  2. blackjax-devs/blackjax blackjax-devs/blackjax Public

    BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.

    Python 729 94

  3. Contour-Stochastic-Gradient-Langevin-Dynamics Contour-Stochastic-Gradient-Langevin-Dynamics Public

    An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)

    Jupyter Notebook 37 9

  4. gaoliyao/Replica_Exchange_Stochastic_Gradient_MCMC gaoliyao/Replica_Exchange_Stochastic_Gradient_MCMC Public

    Code for Non-convex Learning via Replica Exchange Stochastic Gradient MCMC, ICML 2020.

    Python 22 3

  5. Non-reversible-Parallel-Tempering-for-Deep-Posterior-Approximation Non-reversible-Parallel-Tempering-for-Deep-Posterior-Approximation Public

    Code for "Non-reversible Parallel Tempering for Deep Posterior Approximation (AAAI 2023)"

    Roff 3

  6. Global-Optimization-and-Monte-Carlo-Simulation-via-An-Adaptively-Weighted-Stochastic-Gradient-MCMC Global-Optimization-and-Monte-Carlo-Simulation-via-An-Adaptively-Weighted-Stochastic-Gradient-MCMC Public

    Code for "An adaptively weighted stochastic gradient MCMC algorithm for Monte Carlo simulation and global optimization (Statistics and Computing 2022)"

    Python 2 1